Quantitative profiling of plasma peptides in asthmatic mice using liquid chromatography and mass spectrometry

Asthma is increasing in prevalence worldwide as a result of factors associated with a Western lifestyle. However, simple and reliable diagnostic and prognostic markers are yet to be found. In an attempt to identify protein biomarker profiles among small molecular weight ranges, we employed an approa...

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Veröffentlicht in:Proteomics (Weinheim) 2004-11, Vol.4 (11), p.3308-3317
Hauptverfasser: Yeo, SinKoo, Roh, Gu Seob, Kim, Dong-Hoon, Lee, Jung Min, Seo, Seong-Won, Cho, Jin Won, Kim, Chan-Wha, Kwack, KyuBum
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Sprache:eng
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Zusammenfassung:Asthma is increasing in prevalence worldwide as a result of factors associated with a Western lifestyle. However, simple and reliable diagnostic and prognostic markers are yet to be found. In an attempt to identify protein biomarker profiles among small molecular weight ranges, we employed an approach combining liquid chromatography with mass spectrometry, instead of two‐dimensional gel electrophoresis (2‐DE), which has previously been used to analyze protein expression patterns. Here we described its application to compare plasma peptides from control and chronic asthma mice. Peptides were quantitatively profiled as a multidimensional peptide mass fingerprint by a combination of reverse‐phase high‐performance liquid chromatography and matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry. They were identified by peptide mass fingerprinting using matrix‐assisted laser desorption/ionization time‐of‐flight/time‐of‐flight tandem mass spectrometry. In this study, we quantitatively identified the fragment f of complement 3 (C3f), which is important in inflammation. C3f was significantly higher in controls than chronic asthma mice. Our strategy allowed the detection and identification of different plasma peptides between control and chronic asthma mice on a proteomic scale. Therefore, these results suggest that native small peptides detected by non‐2‐DE techniques may be useful and specific biomarkers of disease.
ISSN:1615-9853
1615-9861
DOI:10.1002/pmic.200400918